Artificial Intelligence Engineer
The AI Engineer designs, builds, and deploys scalable AI/ML solutions and end-to-end pipelines to automate and enhance business processes. This includes fine-tuning LLM applications, building microservices, and implementing model monitoring in production environments.
- Hybrid
- Toronto, ON
- Posted Aug 6, 2026
- Apply by Sep 5, 2026
- 1 position
Job summary
TekStaff's Client has a current vacancy for a AI Engineer Duration : This is a 12 months contract located in Toronto, Ont /Hybrid 4 days in office, 1 day work from home Job Description The AI Engineer is responsible for designing, building, and deploying AI/ML solutions that enhance business processes, improve decision-making, and enable automation. This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments. Key Responsibilities Develop end-to-end pipelines including data preprocessing, feature engineering, validation, and deployment. Fine-tune LLM-based applications using frameworks like LangChain, LangSmith, or OpenAI APIs. Deploy models into production using CI/CD pipline. Build scalable microservices or APIs to serve ML models in real time. Implement monitoring for model drift, performance, and reliability. Collaborate with data engineering teams to define data requirements. Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc. Ensure data quality, governance, and security Evaluate new AI frameworks, tools, and techniques. Prototype solutions and run experiments to explore feasibility. Stay up to date with advancements in LLMs, vector embeddings, multimodal AI, and model compression/optimization. Work with product managers and business teams to translate business problems into AI solutions. Partner with cloud engineers and DevOps teams for scalable deployment. Communicate complex technical concepts to non-technical stakeholders. MUST-HAVE Hard Skills: 1.) Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow). 2.) Experience with LLMs, NLP, or deep learning. 3.) Strong knowledge of MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes. 4.) Experience with cloud platforms (AWS/GCP/Azure) and model deployment. 5.) Strong understanding of data structures, algorithms, and software engineering best practices. SOFT SKILLS: 1.) Strong communication skills (written and verbal) 2.) Strong time management 3.) Attention to detail and someone who is a self-starter and adaptable 4.) Strong documentation skills 5.) Strong problem-solving and analytical thinking skills NICE-TO-HAVE 1.) Banking or financial institution experience 2.) Prior client experience 3.) Agile experience TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.
What you’ll do
The AI Engineer designs, builds, and deploys scalable AI/ML solutions and end-to-end pipelines to automate and enhance business processes. This includes fine-tuning LLM applications, building microservices, and implementing model monitoring in production environments.
Requirements
Candidates must have strong Python programming skills and experience with deep learning, NLP, and MLOps tools like MLflow and Kubernetes. Proficiency in cloud platforms and a solid understanding of software engineering best practices are required.
Listed skills
- Microsoft AzurePreferred
- KubernetesPreferred
- SQLPreferred
- CI/CDPreferred
- DockerPreferred
- Amazon Web ServicesPreferred
- Google CloudPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- LLMs
- NLP
- MLOps
- AWS
- GCP
- Azure
- PyTorch
- TensorFlow
- Docker
- Kubernetes
- LangChain
- SQL
- Spark
- Pandas
- CI/CD
Job areas
- Technology
- Software
- Data & Analytics
- Engineering
- Finance & Accounting
Additional details
- Minimum experience
- 5+ years
- Apply by
- Sep 5, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 4 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
